https://www.nature.com/articles/s41467-019-11786-6 … A very sensible article! If neural nets are to replicate animal intelligence, researchers will have to “decode” a relationship between network architectures and behaviors (the way CNNs are a network representation of translation invariance).
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To be clear, it depends on your level of abstraction. Can you map some kind of an ANN to a brain in such a way that nodes correspond to neurons? I'm not certain. Can you "model" a brain with an ANN with some other mapping? Universality results say yes, as I understand.
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"Will the first mammal-level AI be an ANN"? That's a social question. Right now the convention is to formulate machine learning programs as ANNs, so most progress is on ANNs. Genetic algorithms, for instance, are an alternate but equivalent formulation:https://openai.com/blog/evolution-strategies/ …
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